Paper Citation Record · LEDGER

Accelerating Data Processing and Benchmarking of AI Models for Pathology

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2502.06750.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.06750 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:39:13.052728Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T19:28:52.302392Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fd952085-08dc-46e7-8a7d-38ad404c4a3a · inbound

The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models cites this paper.

The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T12:39:13.052728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e49b7f7-2683-4c79-bb50-be67610e1e40 · inbound

Towards Robust Foundation Models for Digital Pathology cites this paper.

Towards Robust Foundation Models for Digital Pathology Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T15:11:12.965206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccd8769b-8b8e-4ce5-b903-0e3f6971a3b9 · inbound

Towards Comprehensive Cellular Characterisation of H&E slides cites this paper.

Towards Comprehensive Cellular Characterisation of H&E slides Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T20:49:25.952534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1495ba9-678a-4b85-80f5-df0ee698569f · inbound

Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer cites this paper.

Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T14:12:19.240705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5339f4e-a709-4247-a514-e9b26f0ff1b1 · inbound

Democratising Pathology Co-Pilots: An Open Pipeline and Dataset for Whole-Slide Vision-Language Modelling cites this paper.

Democratising Pathology Co-Pilots: An Open Pipeline and Dataset for Whole-Slide Vision-Language Modelling Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:03:31.643798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 02bb2c08-ba97-4e6e-8889-ec7a361f0e10 · inbound

MOOZY: A Patient-First Foundation Model for Computational Pathology cites this paper.

MOOZY: A Patient-First Foundation Model for Computational Pathology Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 101

Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c66e5db-55db-4241-b201-bd9076f9766b · inbound

PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning cites this paper.

PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:36:02.624807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 37c7a0ac-2d08-45c8-be9d-fa32a75906f8 · inbound

Clinically-Informed Modeling for Pediatric Brain Tumor Classification from Whole-Slide Histopathology Images cites this paper.

Clinically-Informed Modeling for Pediatric Brain Tumor Classification from Whole-Slide Histopathology Images Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:56:05.499467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa7666c0-b577-4573-9c82-d9be87dadbc8 · inbound

Clinically-Informed Modeling for Pediatric Brain Tumor Classification from Whole-Slide Histopathology Images cites this paper.

Clinically-Informed Modeling for Pediatric Brain Tumor Classification from Whole-Slide Histopathology Images Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:19:52.598708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e4f793a-c228-4490-90a0-d56237ad5ca0 · inbound

Unified Multi-Foundation-Model Slide Representation for Pan-Cancer Recognition and Text-Guided Tumor Localization cites this paper.

Unified Multi-Foundation-Model Slide Representation for Pan-Cancer Recognition and Text-Guided Tumor Localization Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:01:03.531291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e47ef77-44c3-4b39-85fc-5e3e3c550255 · inbound

Validation of Whole-Slide Foundation Models for Image Retrieval in TCGA Data cites this paper.

Validation of Whole-Slide Foundation Models for Image Retrieval in TCGA Data Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:26:06.791356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5320dc50-645f-41ca-b9ca-56edd6db1ee1 · inbound

Isotonic Survival Regression: Calibrated Survival Distributions from Deep Cox Models cites this paper.

Isotonic Survival Regression: Calibrated Survival Distributions from Deep Cox Models Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:02:47.378617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 90a65572-8d44-45a2-8bc9-fcca40e35696 · inbound

Benchmarking Pathology Foundation Models for Spatial Domain Understanding cites this paper.

Benchmarking Pathology Foundation Models for Spatial Domain Understanding Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:54:01.209174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 94e36062-a09b-43c6-92da-0084d5fe2a63 · inbound

Pathway-Structured Privileged Distillation for Deployable Computational Pathology cites this paper.

Pathway-Structured Privileged Distillation for Deployable Computational Pathology Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:46:20.303628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad48c085-a7a8-4b16-ae89-16804756bb8e · inbound

How Seemingly Inconsequential Design Choices Dictate Performance of LLMs in Pathology cites this paper.

How Seemingly Inconsequential Design Choices Dictate Performance of LLMs in Pathology Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:18:03.528614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 20023223-2b91-445f-97ae-291d3cb2b315 · inbound

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology cites this paper.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:28:52.304120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0cbfbb87-6340-4ba1-9623-5bfd54095f2b · inbound

Uncertainty Estimation in Pathology Foundation Models via Deep Mutual Learning cites this paper.

Uncertainty Estimation in Pathology Foundation Models via Deep Mutual Learning Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:34:18.711637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5cd50847-e0ec-4b78-8f5a-e7df81ec1c16 · inbound

PathReportEval: A Systematic Benchmark for Pathology Report Generation cites this paper.

PathReportEval: A Systematic Benchmark for Pathology Report Generation Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T15:25:51.773839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af8eace3-2eb9-4ead-9322-7591417b230d · inbound

Zero-Cost Virtual RNA: Approximating Immunotherapy Signatures via Cross-Modal WSI Retrieval cites this paper.

Zero-Cost Virtual RNA: Approximating Immunotherapy Signatures via Cross-Modal WSI Retrieval Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T00:45:31.879363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 722a72da-0bfc-48a6-b38d-182f1bba8ce1 · inbound

Harnessing Adversarial Distillation to Customise Debiased, Disease-Specific Pathology Foundation Models for Breast Cancer cites this paper.

Harnessing Adversarial Distillation to Customise Debiased, Disease-Specific Pathology Foundation Models for Breast Cancer Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T00:21:09.857488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.